Claude Code 在大型代码库中的工作原理：最佳实践与入门指南

The most successful Claude Code deployments share a set of recognizable patterns across configurations, tooling, and org structure. This article is part of Claude Code at scale*, a new series covering best practices for engineering organizations building with Claude Code at enterprise scale.*

最成功的 Claude Code 部署在配置、工具和组织结构方面都具有一系列可识别的模式。本文是 Claude Code at scale*，一个涵盖工程组织在企业规模下使用 Claude Code 进行构建的最佳实践的新系列。*

Claude Code is running in production across multi-million-line monorepos, decades-old legacy systems, distributed architectures spanning dozens of repositories, and at organizations with thousands of developers. These environments present challenges that smaller, simpler codebases don’t, whether that’s build commands that differ across every subdirectory or legacy code spread across folders with no shared root.

Claude Code 正在数百万行代码的 monorepo、拥有数十年历史的遗留系统、跨越数十个仓库的分布式架构以及拥有数千名开发者的组织的生产环境中运行。这些环境带来了较小、较简单的代码库所没有的挑战，无论是每个子目录都不同的构建命令，还是分散在没有共享根目录的文件夹中的遗留代码。

This article covers the patterns we've observed that have led to successful adoption of Claude Code at scale. We use “large codebase” to refer to a wide range of deployments: monorepos with millions of lines, legacy systems built over decades, dozens of microservices across separate repositories, or any combination of the above. That also includes codebases running on languages that teams don't always associate with AI coding tools, such as C, C++, C#, Java, PHP. (Claude Code performs better than most teams expect it to in those cases, particularly as of recent model releases.) While every large codebase deployment is shaped by its specific version control, team structure, and accumulated conventions, the patterns here generalize across them and are a good starting point for teams considering adopting Claude Code.

本文涵盖了我们观察到的促成 Claude Code 大规模成功采用的模式。我们使用“大型代码库”来指代广泛的部署：数百万行代码的 monorepo、历经数十年构建的遗留系统、跨多个独立仓库的数十个微服务，或上述任何组合。这还包括运行在团队通常不与 AI 编码工具关联的语言上的代码库，例如 C、C++、C#、Java、PHP。（在这些情况下，Claude Code 的表现优于大多数团队的预期，尤其是在最近的模型发布之后。）虽然每个大型代码库部署都受其特定的版本控制、团队结构和积累的约定所影响，但这里...